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Description: As an Analyst US High Grade Strategy within the US Credit Strategy team, you will work end to end on multiple time sensitive deliverables which include day-to-day monitoring of US Credit-relevant sectors/issuers and market developments, staying on top of catalysts, flows, technicals, and fundamentals. Job Responsibilities - Working end to end on multiple time sensitive deliverables which include day-to-day monitoring of US Credit-relevant sectors/issuers and market developments, staying on top of catalysts, flows, technicals, and fundamentals. - Conducting detailed analyses and deep-dive research of key market trends which include assessing news, macro developments, and industry trends for implications to spreads, ratings, and capital structures. - Build and maintain financial models and key credit/coverage metrics; use outputs to support strategy discussion on risk, valuation, and relative value. - Write concise, client-ready research notes and contribute to broader thematic/sector pieces with timely market commentary. - Present findings clearly (written and verbal) and support market and positioning views and perspectives in internal debates and client-facing conversations under time pressure. - Monitor earnings and translate takeaways into a clear strategy/credit view - Develop, maintain, and enhance quantitative/econometric models and frameworks for forecasting, scenario analysis, and market/policy interpretation relevant to Credit Portfolios. - Manage, clean, and analyze large datasets using tools such as Python (and other research toolkits) to produce charts, tables, and publication-ready outputs. - Perform valuation and relative value analysis across issuers, curves, and structures, with clear conclusions and actionable framing. - Contribute to automation and process improvement, emphasizing data integrity and reproducibility across recurring publications and templates. - Prepare Excel charts, Word documents, and PowerPoint materials for publications, client conferences, and recurring chart books/data visualizations and collaborate with strategists, economists, and global research teams; support investor events/webinars/conferences as needed. Required qualifications, skills, and capabilities - 1-3 years in Research, Banking, or another rigorous analytical role; strong interest in markets. - Strong quantitative/econometric foundation (e.g., multiple regression) and comfort working with macro/market data. - Advanced Excel and financial modeling skills; fluency with AI-enabled tools to accelerate analysis. - Coding skills to manipulate data and perform statistical analysis using tools such as Python (plus Eviews/VBA where relevant). - Strong writing and presentation skills; clear, concise communication under time pressure. - Strong organization, prioritization, attention to detail, and ability to work independently and as part of a deadline-driven team. - Proficiency with Bloomberg and familiarity with common financial market data sources/conventions (e.g., Bloomberg/Haver/CEIC). - Experience with advanced econometric/statistical techniques, machine learning, and/or natural language processing for research workflows. - Strong MS Office skills (Word/PowerPoint) and experience producing publication-quality materials. - Master’s degree or above in Economics, Finance, Mathematics, Engineering, or a related quantitative field from reputed institutions.